Approximate Inference by Kullback-Leibler Tensor Belief Propagation.
Patrick W. A. WijningsSander StuijkBert de VriesHenk CorporaalPublished in: ICASSP (2020)
Keyphrases
- kullback leibler
- approximate inference
- belief propagation
- graphical models
- message passing
- markov random field
- kullback leibler divergence
- graph cuts
- kl divergence
- higher order
- stereo matching
- loopy belief propagation
- factor graphs
- exact inference
- variational methods
- markov networks
- pairwise
- energy function
- probabilistic inference
- probabilistic model
- free energy
- conditional random fields
- belief networks
- information theoretic
- dynamic programming
- random fields
- structure learning
- markov chain monte carlo
- bayesian networks